PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-10 23:14:45.700405+00:00 (UTC)
In US/Central Time, this is 2024-03-10 18:14:45.700405-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/8aedb305ed7c4a05fd7eca0b73211c80f51f98aee1c49724be21cb0dad1ae89e.png
We are just generating a random time serie here.
import pandas as pd
pd.DataFrame({'1': [1, 2, 3, 4, 1, 2, 3, 4]}).plot(title='Shakepeare')
<Axes: title={'center': 'Shakepeare'}>
../../_images/92a49538e66116fefe18b9bfe24e3a4ef066c1141b70113e35f963f028b113b4.png
../../_images/8e845775f955bb5d7aebdbe5927e3e4b5df69fd13de0f458fd8dea61648f6b49.png
../../_images/8b1bd6b8ea6751755116493814491c17f2581a5dc67ce43717f59afc1963f69c.png